This paper is in the following e-collection/theme issue:

Consumer & Patient Education and Shared-Decision Making (638) Participatory Medicine & E-Patients (758) Research Instruments, Questionnaires, and Tools (541)

Published on in Vol 16, No 3 (2014): March

Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics

Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics

Animated Randomness, Avatars, Movement, and Personalization in Risk Graphics

Authors of this article:

Holly O Witteman1, 2, 3, 4 ;   Andrea Fuhrel-Forbis4, 5 ;   Harindra C Wijeysundera6, 7, 8 ;   Nicole Exe4 ;   Mark Dickson4 Author Orcid Image ;   Lisa Holtzman4, 9 ;   Valerie C Kahn4 ;   Brian J Zikmund-Fisher4, 10, 11, 12 Author Orcid Image
Article Authors Cited by (28) Tweetations (14) Metrics

Journals

  1. Witteman H, Presseau J, Nicholas Angl E, Jokhio I, Schwalm J, Grimshaw J, Bosiak B, Natarajan M, Ivers N. Negotiating Tensions Between Theory and Design in the Development of Mailings for People Recovering From Acute Coronary Syndrome. JMIR Human Factors 2017;4(1):e6 View
  2. Tibell L, Harms U. Biological Principles and Threshold Concepts for Understanding Natural Selection. Science & Education 2017;26(7-9):953 View
  3. Bonner C, Bell K, Jansen J, Glasziou P, Irwig L, Doust J, McCaffery K. Should heart age calculators be used alongside absolute cardiovascular disease risk assessment?. BMC Cardiovascular Disorders 2018;18(1) View
  4. Mavletova A, Gavrilov K, Tholmogorova T. Gamifying a web survey among adolescents: effects on understanding of risk, risk calculation, and ratio-bias. Journal of Risk Research 2019;22(12):1532 View
  5. Engelhardt E, Pieterse A, Han P, van Duijn-Bakker N, Cluitmans F, Maartense E, Bos M, Weijl N, Punt C, Quarles van Ufford-Mannesse P, Sleeboom H, Portielje J, van der Hoeven K, Woei-A-Jin F, Kroep J, de Haes H, Smets E, Stiggelbout A. Disclosing the Uncertainty Associated with Prognostic Estimates in Breast Cancer. Medical Decision Making 2017;37(3):179 View
  6. Taylor-Robinson D, Kee F. Precision public health—the Emperor’s new clothes. International Journal of Epidemiology 2019;48(1):1 View
  7. Klein K, Watson L, Ash J, Eden K. Evaluation of risk communication in a mammography patient decision aid. Patient Education and Counseling 2016;99(7):1240 View
  8. Bonner C, Jansen J, Newell B, Irwig L, Teixeira-Pinto A, Glasziou P, Doust J, McKinn S, McCaffery K. Is the “Heart Age” Concept Helpful or Harmful Compared to Absolute Cardiovascular Disease Risk? An Experimental Study. Medical Decision Making 2015;35(8):967 View
  9. Comello M, Qian X, Deal A, Ribisl K, Linnan L, Tate D. Impact of Game-Inspired Infographics on User Engagement and Information Processing in an eHealth Program. Journal of Medical Internet Research 2016;18(9):e237 View
  10. Haga S, Mills R, Pollak K, Rehder C, Buchanan A, Lipkus I, Crow J, Datto M. Developing patient-friendly genetic and genomic test reports: formats to promote patient engagement and understanding. Genome Medicine 2014;6(7) View
  11. Housten A, Kamath G, Bevers T, Cantor S, Dixon N, Hite A, Kallen M, Leal V, Li L, Volk R. Does Animation Improve Comprehension of Risk Information in Patients with Low Health Literacy? A Randomized Trial. Medical Decision Making 2020;40(1):17 View
  12. Fagerlin A, Valley T, Scherer A, Knaus M, Das E, Zikmund-Fisher B. Communicating infectious disease prevalence through graphics: Results from an international survey. Vaccine 2017;35(32):4041 View
  13. Bonner C, Raffoul N, Battaglia T, Mitchell J, Batcup C, Stavreski B. Experiences of a National Web-Based Heart Age Calculator for Cardiovascular Disease Prevention: User Characteristics, Heart Age Results, and Behavior Change Survey. Journal of Medical Internet Research 2020;22(8):e19028 View
  14. Smith S, Curtis L, O’Conor R, Federman A, Wolf M. ABCs or 123s? The independent contributions of literacy and numeracy skills on health task performance among older adults. Patient Education and Counseling 2015;98(8):991 View
  15. Lewis A, Green R. Polygenic risk scores in the clinic: new perspectives needed on familiar ethical issues. Genome Medicine 2021;13(1) View
  16. Van Der Pol-Harney E, Turner R, McCaffery K, Bonner C. The effects of communicating cardiovascular disease risk as 'fitness age' on behavioral intentions and psychological outcomes. Patient Education and Counseling 2021;104(7):1704 View
  17. Waters E, Maki J, Liu Y, Ackermann N, Carter C, Dart H, Bowen D, Cameron L, Colditz G. Risk Ladder, Table, or Bulleted List? Identifying Formats That Effectively Communicate Personalized Risk and Risk Reduction Information for Multiple Diseases. Medical Decision Making 2021;41(1):74 View
  18. Bonner C, Trevena L, Gaissmaier W, Han P, Okan Y, Ozanne E, Peters E, Timmermans D, Zikmund-Fisher B. Current Best Practice for Presenting Probabilities in Patient Decision Aids: Fundamental Principles. Medical Decision Making 2021;41(7):821 View
  19. Schulberg S, Ferry A, Jin K, Marshall L, Neubeck L, Strachan F, Mills N. Cardiovascular risk communication strategies in primary prevention. A systematic review with narrative synthesis. Journal of Advanced Nursing 2022;78(10):3116 View
  20. Ripberger J, Bell A, Fox A, Forney A, Livingston W, Gaddie C, Silva C, Jenkins-Smith H. Communicating Probability Information in Weather Forecasts: Findings and Recommendations from a Living Systematic Review of the Research Literature. Weather, Climate, and Society 2022;14(2):481 View
  21. Bonner C, Batcup C, Fajardo M, Trevena L. Biological age calculators to motivate lifestyle change: Environmental scan of online tools and evaluation of behaviour change techniques. Health Promotion Journal of Australia 2023;34(1):202 View
  22. Bonner C, Batcup C, Cornell S, Fajardo M, Hawkes A, Trevena L, Doust J. Interventions Using Heart Age for Cardiovascular Disease Risk Communication: Systematic Review of Psychological, Behavioral, and Clinical Effects. JMIR Cardio 2021;5(2):e31056 View
  23. Desai P, Harkins S, Rahman S, Kumar S, Hermann A, Joly R, Zhang Y, Pathak J, Kim J, D’Angelo D, Benda N, Reading Turchioe M. Visualizing machine learning-based predictions of postpartum depression risk for lay audiences. Journal of the American Medical Informatics Association 2024;31(2):289 View
  24. Ellis T, Cheng S, Zecchin R, Zwack C, Hyun K, Zhang L, Gallagher R, Clark R, Redfern J. Effect of an avatar-based discharge education application on knowledge and behaviour in people after acute coronary syndrome: protocol for a pragmatic prospective randomised controlled trial. BMJ Open 2023;13(8):e073621 View
  25. Sebastian S. Cardiovascular disease risk communication: Strategies, impact, and future directions. Current Problems in Cardiology 2024;49(5):102490 View
  26. Ancker J, Benda N, Zikmund-Fisher B. Insufficient evidence for interactive or animated graphics for communicating probability. Journal of the American Medical Informatics Association 2024 View

Books/Policy Documents

  1. Gamp M, Debbeler L, Renner B. eHealth in Deutschland. View
  2. Wang L, Zheng M. Advances in Usability, User Experience, Wearable and Assistive Technology. View